Evidence map›Paper›PMID 37488740›Full record

ArticleClinical and translational allergy2023

K-means cluster analysis of characteristic patterns of allergen in different ages: Real life study.

Lei Zhao, Jie Fang, Yong Ji, Yingying Zhang, Xin Zhou, Junfeng Yin, Min Zhang, Wuping Bao

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Article in Clinical and translational allergy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

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9citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Lei ZhaoDepartment of Respiratory Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jie FangDepartment of Laboratory Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yong JiDepartment of Respiratory Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yingying ZhangDepartment of Respiratory Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xin ZhouDepartment of Respiratory Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Junfeng YinSchool of Mathematical Sciences, Tongji University, Shanghai, China.
Min ZhangDepartment of Respiratory Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID https://orcid.org/0000-0002-9591-9524
Wuping BaoDepartment of Respiratory Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID https://orcid.org/0000-0003-0145-5819

Funding

National Natural Science Foundation of China 81873402Scientific and Technological Innovation Program Funded by Science and Technology Commission of Shanghai Municipality 20Y11902400Shanghai General Hospital 02.06.01.21.13Shanghai General Hospital 02.06.01.21.56Shanghai General Hospital CTCCR-2019B02Shanghai General Hospital CTCCR-2021B07
6 · The paper itself

Abstract

backgroundAtopy varies in people of different ages owing to different physical conditions and exposure to allergens. We aimed to cluster ages based on atopic severity using K-means cluster analysis and identify atopic incidence, severity, as well as the association among peripheral eosinophils, IgE and sensitisation.

methodsConsecutive patients (n = 7654) with allergic symptoms and undergoing allergen-specific IgE tests were included from 2013 to 2017. Age, sex, specific-IgE, peripheral eosinophil counts and total-IgE were collected.

resultsFive age categories were identified: 1-17, 18-36, 37-52, 53-69 and 70-100 years. The incidences of atopy and poly-sensitisation decreased with increasing age. Similar trend was observed for aeroallergens, egg and milk but not for peanuts, soy or seafood. Dust mites remain the crucial factor bothering patients with allergic symptoms, especially for children and adolescents. In patients aged <52 years, sensitisation to aeroallergens was more prevalent than food. In group 37-52 years, incidence of females' atopy was higher than that of males. The overlap of atopy, high eosinophils, and high total-IgE was found in only 19.18% of patients. The trend of allergen-test positivity is not parallel to total IgE and peripheral eosinophil counts.

conclusionAge-grouping based on cluster analysis helps to find the changes in atopic status and distribution of sensitised allergens with age. Allergen tests are still necessary in the clinical diagnosis and treatment. An innovative exploration of the influence of age and allergens on total-IgE and eosinophil counts is helpful for the development of bio-targeted precision therapy. CLINICAL

trial registrationChiCTR2300067700.

Indexed as

ageatopycluster analysiseosinophilsimmunoglobulin E

Identifiers

PMID37488740
PMCPMC10326892

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